124 instantiations of RoleMappedData
Microsoft.ML.Core.Tests (3)
UnitTests\TestEntryPoints.cs (3)
1530var rmd = new RoleMappedData(splitOutput.TrainData[0], "Label", "Features"); 2015var rmd = new RoleMappedData(data, "Label", "Features"); 2183var rmd = new RoleMappedData(data, false,
Microsoft.ML.Data (51)
Commands\CrossValidationCommand.cs (5)
259return new RoleMappedData(pipe, srcData.Schema.GetColumnRoleNames()); 282return new RoleMappedData(data, label, features, group, weight, name, customCols); 541var rmd = new RoleMappedData( 555var dataEval = new RoleMappedData(scorePipe, testData.Schema.GetColumnRoleNames(), opt: true); 562perInstance = new RoleMappedData(perInst, dataEval.Schema.GetColumnRoleNames(), opt: true);
Commands\EvaluateCommand.cs (3)
166var data = new RoleMappedData(input, label, null, group, weight, null, customCols); 244var data = new RoleMappedData(view, label, null, group, weight, name, customCols); 256var perInstData = new RoleMappedData(perInst, label, null, group, weight, name, customCols);
Commands\TestCommand.cs (2)
121var data = new RoleMappedData(scorePipe, label, null, group, weight, name, customCols); 135var perInstData = new RoleMappedData(perInst, label, null, group, weight, name, customCols);
Commands\TrainCommand.cs (4)
163var data = new RoleMappedData(view, label, feature, group, weight, name, customCols); 178validData = new RoleMappedData(validPipe, data.Schema.GetColumnRoleNames()); 196testDataUsedInTrainer = new RoleMappedData(testPipeUsedInTrainer, data.Schema.GetColumnRoleNames()); 506data = new RoleMappedData(cacheView, data.Schema.GetColumnRoleNames());
Commands\TrainTestCommand.cs (5)
150var data = new RoleMappedData(trainPipe, label, features, group, weight, name, customCols); 164validData = new RoleMappedData(validPipe, data.Schema.GetColumnRoleNames()); 182testDataUsedInTrainer = new RoleMappedData(testPipeUsedInTrainer, data.Schema.GetColumnRoleNames()); 210var dataEval = new RoleMappedData(scorePipe, label, features, 225var perInstData = new RoleMappedData(perInst, label, null, group, weight, name, customCols);
DataView\DataViewConstructionUtils.cs (2)
133? env.CreateDefaultScorer(new RoleMappedData(pipe, roles, opt: true), predictor) 134: env.CreateDefaultScorer(new RoleMappedData(pipe, label: null, "Features"), predictor);
EntryPoints\InputBase.cs (2)
86var roleMappedData = new RoleMappedData(view, label, feature, group, weight, name, custom); 116cachedRoleMappedData = new RoleMappedData(outputData, roleMappedData.Schema.GetColumnRoleNames());
EntryPoints\PredictorModelImpl.cs (2)
84var roleMappedData = new RoleMappedData(data, _roleMappings, opt: true); 105roleMappedData = new RoleMappedData(input, _roleMappings, opt: true);
Evaluators\AnomalyDetectionEvaluator.cs (2)
596var roles = new RoleMappedData(data, opt: false, 826var data = new RoleMappedData(input.Data, label, null, null, weight, name);
Evaluators\BinaryClassifierEvaluator.cs (5)
818var roles = new RoleMappedData(data, opt: false, 866var roles = new RoleMappedData(data, opt: false, 946var roles = new RoleMappedData(data, opt: false, 992var roles = new RoleMappedData(data, opt: false, 1515var data = new RoleMappedData(input.Data, label, null, null, weight, name);
Evaluators\ClusteringEvaluator.cs (2)
79var rolesMappedData = new RoleMappedData(data, opt: false, roles.ToArray()); 871var data = new RoleMappedData(input.Data, label, features, null, weight, name);
Evaluators\MamlEvaluator.cs (3)
109data = new RoleMappedData(data.Data, GetInputColumnRoles(data.Schema, needStrat: true)); 223var dataEval = new RoleMappedData(scoredData.Data, GetInputColumnRoles(schema)); 284var data = new RoleMappedData(perInstance.Data, GetInputColumnRoles(perInstance.Schema, needName: true));
Evaluators\MulticlassClassificationEvaluator.cs (2)
557var roles = new RoleMappedData(data, opt: false, 1100var data = new RoleMappedData(input.Data, label, null, null, weight, name);
Evaluators\MultiOutputRegressionEvaluator.cs (1)
786var data = new RoleMappedData(input.Data, label, null, null, weight, name);
Evaluators\QuantileRegressionEvaluator.cs (1)
571var data = new RoleMappedData(input.Data, label, null, null, weight, name);
Evaluators\RankingEvaluator.cs (2)
259var roles = new RoleMappedData(data, opt: false, 1097var data = new RoleMappedData(input.Data, label, null, groupId, weight, name);
Evaluators\RegressionEvaluator.cs (2)
179var roles = new RoleMappedData(data, opt: false, 398var data = new RoleMappedData(input.Data, label, null, null, weight, name);
Model\Pfa\SavePfaCommand.cs (2)
150data = new RoleMappedData(end, trainSchema.GetColumnRoleNames()); 155data = new RoleMappedData(end, DefaultColumnNames.Label,
Training\TrainerEstimatorBase.cs (2)
166new RoleMappedData(data, label: LabelColumn.Name, feature: FeatureColumn.Name, weight: WeightColumn.Name); 198new RoleMappedData(data, label: LabelColumn.Name, feature: FeatureColumn.Name, group: GroupIdColumn.Name, weight: WeightColumn.Name);
Transforms\TrainAndScoreTransformer.cs (1)
272return new RoleMappedData(input, label, feat, group, weight, name, customCols);
Utilities\ComponentCreation.cs (1)
57return new RoleMappedData(data, label, features, group, weight, name: null, custom: custom);
Microsoft.ML.Ensemble (7)
EnsembleUtils.cs (1)
39var res = new RoleMappedData(view, data.Schema.GetColumnRoleNames());
EntryPoints\CreateEnsemble.cs (1)
307var rmd = new RoleMappedData(dv);
Selector\SubModelSelector\BaseSubModelSelector.cs (1)
84RoleMappedData scoredTestData = new RoleMappedData(scorePipe,
Selector\SubsetSelector\BaseSubsetSelector.cs (2)
80dataTest = new RoleMappedData(viewTest, Data.Schema.GetColumnRoleNames()); 81dataTrain = new RoleMappedData(viewTrain, Data.Schema.GetColumnRoleNames());
Selector\SubsetSelector\BootstrapSelector.cs (1)
52var dataTrain = new RoleMappedData(viewTrain, Data.Schema.GetColumnRoleNames());
Selector\SubsetSelector\RandomPartitionSelector.cs (1)
50var dataTrain = new RoleMappedData(viewTrain, Data.Schema.GetColumnRoleNames());
Microsoft.ML.EntryPoints (3)
CrossValidationMacro.cs (1)
365idv => new RoleMappedData(idv, opt: true,
ModelOperations.cs (1)
153var data = new RoleMappedData(normalizedView, label, feature, null, weight);
OneVersusAllMacro.cs (1)
131var data = new RoleMappedData(input.TrainingData, label, feature, null, weight);
Microsoft.ML.FastTree (3)
FastTree.cs (1)
1359examples = new RoleMappedData(data, examples.Schema.GetColumnRoleNames());
GamModelParameters.cs (2)
682_dataForEvaluator = new RoleMappedData(builder.GetDataView(), opt: false, 891var data = new RoleMappedData(loader, schema.GetColumnRoleNames(), opt: true);
Microsoft.ML.KMeansClustering (1)
KMeansPlusPlusTrainer.cs (1)
977new RoleMappedData(arrDv.GetDataView(), null, DefaultColumnNames.Features, weight: DefaultColumnNames.Weight), CursOpt.Weight | CursOpt.Features);
Microsoft.ML.Mkl.Components (1)
SymSgdClassificationTrainer.cs (1)
206var examplesToFeedTrain = new RoleMappedData(idvToFeedTrain, roles);
Microsoft.ML.OnnxConverter (2)
SaveOnnxCommand.cs (2)
342data = new RoleMappedData(end, trainSchema.GetColumnRoleNames()); 347data = new RoleMappedData(end, DefaultColumnNames.Label,
Microsoft.ML.OnnxTransformerTest (2)
DnnImageFeaturizerTest.cs (1)
156var resultRoles = new RoleMappedData(result);
OnnxTransformTests.cs (1)
199var resultRoles = new RoleMappedData(result);
Microsoft.ML.Predictor.Tests (2)
TestPredictors.cs (2)
673var data = new RoleMappedData(idv, label: null, feature: "Features"); 843var data = new RoleMappedData(idv, label: null, feature: "Features");
Microsoft.ML.Recommender (2)
MatrixFactorizationTrainer.cs (2)
534var trainingData = new RoleMappedData(trainData, roles); 535var validData = validationData == null ? null : new RoleMappedData(validationData, roles);
Microsoft.ML.StandardTrainers (9)
FactorizationMachine\FactorizationMachineTrainer.cs (2)
602var trainingData = new RoleMappedData(trainData, roles); 603var validData = validationData == null ? null : new RoleMappedData(validationData, roles);
Standard\MulticlassClassification\OneVersusAllTrainer.cs (2)
179var trainedData = new RoleMappedData(view, label: trainerLabel, feature: transformer.FeatureColumnName); 214var td = new RoleMappedData(input, roles);
Standard\MulticlassClassification\PairwiseCouplingTrainer.cs (2)
155var trainedData = new RoleMappedData(view, label: trainerLabel, feature: transformer.FeatureColumnName); 192var td = new RoleMappedData(input, roles);
Standard\SdcaBinary.cs (1)
117var examplesToFeedTrain = new RoleMappedData(idvToFeedTrain, roles);
Standard\Simple\SimpleTrainers.cs (1)
245RoleMappedData trainRoles = new RoleMappedData(input, label: _labelColumnName, feature: null, weight: _weightColumnName);
Standard\StochasticTrainerBase.cs (1)
81var examplesToFeedTrain = new RoleMappedData(idvToFeedTrain, roles);
Microsoft.ML.TensorFlow.Tests (1)
TensorFlowEstimatorTests.cs (1)
127var resultRoles = new RoleMappedData(result);
Microsoft.ML.Tests (30)
ImagesTests.cs (10)
195TrainUtils.SaveModel(env, ch, fh, null, new RoleMappedData(grey)); 356TrainUtils.SaveModel(env, ch, fh, null, new RoleMappedData(backToImages)); 431TrainUtils.SaveModel(env, ch, fh, null, new RoleMappedData(backToImages)); 507TrainUtils.SaveModel(env, ch, fh, null, new RoleMappedData(backToImages)); 582TrainUtils.SaveModel(env, ch, fh, null, new RoleMappedData(backToImages)); 657TrainUtils.SaveModel(env, ch, fh, null, new RoleMappedData(backToImages)); 733TrainUtils.SaveModel(env, ch, fh, null, new RoleMappedData(backToImages)); 808TrainUtils.SaveModel(env, ch, fh, null, new RoleMappedData(backToImages)); 884TrainUtils.SaveModel(env, ch, fh, null, new RoleMappedData(backToImages)); 958TrainUtils.SaveModel(env, ch, fh, null, new RoleMappedData(backToImages));
Scenarios\Api\Estimators\TrainWithInitialPredictor.cs (1)
43var trainRoles = new RoleMappedData(trainData, label: "Label", feature: "Features");
TermEstimatorTests.cs (1)
124var resultRoles = new RoleMappedData(result);
Transformers\CategoricalHashTests.cs (1)
231var resultRoles = new RoleMappedData(result);
Transformers\CategoricalTests.cs (1)
325var resultRoles = new RoleMappedData(result);
Transformers\CharTokenizeTests.cs (1)
64var resultRoles = new RoleMappedData(result);
Transformers\ConvertTests.cs (1)
324var resultRoles = new RoleMappedData(result);
Transformers\CopyColumnEstimatorTests.cs (1)
120var resultRoles = new RoleMappedData(result);
Transformers\FeatureSelectionTests.cs (2)
156var resultRoles = new RoleMappedData(result); 216var resultRoles = new RoleMappedData(result);
Transformers\HashTests.cs (1)
120var resultRoles = new RoleMappedData(result);
Transformers\KeyToBinaryVectorEstimatorTest.cs (1)
157var resultRoles = new RoleMappedData(result);
Transformers\KeyToVectorEstimatorTests.cs (1)
219var resultRoles = new RoleMappedData(result);
Transformers\NAIndicatorTests.cs (1)
82var resultRoles = new RoleMappedData(result);
Transformers\NAReplaceTests.cs (1)
177var resultRoles = new RoleMappedData(result);
Transformers\NormalizerTests.cs (3)
740var resultRoles = new RoleMappedData(result); 801var resultRoles = new RoleMappedData(result); 861var resultRoles = new RoleMappedData(result);
Transformers\RffTests.cs (1)
105var resultRoles = new RoleMappedData(result);
Transformers\TextNormalizer.cs (1)
85var resultRoles = new RoleMappedData(result);
Transformers\WordTokenizeTests.cs (1)
105var resultRoles = new RoleMappedData(result);
Microsoft.ML.TimeSeries (5)
AdaptiveSingularSpectrumSequenceModeler.cs (2)
1532public void Train(IDataView dataView, string inputColumnName) => Train(new RoleMappedData(dataView, null, inputColumnName)); 1556var data = new RoleMappedData(dataView, null, inputColumnName);
SsaChangePointDetector.cs (1)
106InternalTransform.Model.Train(new RoleMappedData(input, null, InternalTransform.InputColumnName));
SSaForecasting.cs (1)
131InternalTransform.Model.Train(new RoleMappedData(input, null, InternalTransform.InputColumnName));
SsaSpikeDetector.cs (1)
103InternalTransform.Model.Train(new RoleMappedData(input, null, InternalTransform.InputColumnName));
Microsoft.ML.Transforms (2)
Dracula\CountTableTransformer.cs (1)
135CheckLabelType(new RoleMappedData(input, roles: RoleMappedSchema.CreatePair(RoleMappedSchema.ColumnRole.Label, _labelColumnName)), out var labelCardinality);
LearnerFeatureSelection.cs (1)
292var data = new RoleMappedData(view, label, feature, group, weight, name, customCols);
378 references to RoleMappedData
Microsoft.ML.Core (13)
Data\RoleMappedSchema.cs (4)
31/// that case, please use the <see cref="RoleMappedData"/> class. 33/// Note that there is no need for components consuming a <see cref="RoleMappedData"/> or <see cref="RoleMappedSchema"/> 39/// <seealso cref="RoleMappedData"/> 112/// for giving to constructors of <see cref="RoleMappedSchema"/> and <see cref="RoleMappedData"/>.
EntryPoints\PredictorModel.cs (1)
51internal abstract void PrepareData(IHostEnvironment env, IDataView input, out RoleMappedData roleMappedData, out IPredictor predictor);
Prediction\ITrainer.cs (2)
93public static IPredictor Train(this ITrainer trainer, RoleMappedData trainData) 104public static TPredictor Train<TPredictor>(this ITrainer<TPredictor> trainer, RoleMappedData trainData) where TPredictor : IPredictor
Prediction\TrainContext.cs (6)
21public RoleMappedData TrainingSet { get; } 28public RoleMappedData ValidationSet { get; } 36public RoleMappedData TestSet { get; } 53public TrainContext(RoleMappedData trainingSet, RoleMappedData validationSet = null, RoleMappedData testSet = null, IPredictor initialPredictor = null)
Microsoft.ML.Core.Tests (3)
UnitTests\TestEntryPoints.cs (3)
1530var rmd = new RoleMappedData(splitOutput.TrainData[0], "Label", "Features"); 2015var rmd = new RoleMappedData(data, "Label", "Features"); 2183var rmd = new RoleMappedData(data, false,
Microsoft.ML.Data (145)
Commands\CrossValidationCommand.cs (21)
255private RoleMappedData ApplyAllTransformsToData(IHostEnvironment env, IChannel ch, IDataView dstData, 256RoleMappedData srcData, IDataView marker) 265private RoleMappedData CreateRoleMappedData(IHostEnvironment env, IChannel ch, IDataView data, ITrainer trainer) 334public readonly RoleMappedData PerInstanceResults; 337public FoldResult(Dictionary<string, IDataView> metrics, DataViewSchema scoreSchema, RoleMappedData perInstance, RoleMappedSchema trainSchema) 363private readonly Func<IHostEnvironment, IChannel, IDataView, ITrainer, RoleMappedData> _createExamples; 364private readonly Func<IHostEnvironment, IChannel, IDataView, RoleMappedData, IDataView, RoleMappedData> _applyTransformsToTestData; 366private readonly Func<IHostEnvironment, IChannel, IDataView, RoleMappedData, IDataView, RoleMappedData> _applyTransformsToValidationData; 390Func<IHostEnvironment, IChannel, IDataView, ITrainer, RoleMappedData> createExamples, 391Func<IHostEnvironment, IChannel, IDataView, RoleMappedData, IDataView, RoleMappedData> applyTransformsToTestData, 395Func<IHostEnvironment, IChannel, IDataView, RoleMappedData, IDataView, RoleMappedData> applyTransformsToValidationData = null, 493var trainData = _createExamples(host, ch, trainPipe, trainer); 503var testData = _applyTransformsToTestData(host, ch, testPipe, trainData, trainPipe); 506RoleMappedData validData = null; 541var rmd = new RoleMappedData( 555var dataEval = new RoleMappedData(scorePipe, testData.Schema.GetColumnRoleNames(), opt: true); 558RoleMappedData perInstance = null;
Commands\EvaluateCommand.cs (7)
91/// Both take a <see cref="RoleMappedData"/> as input. The <see cref="RoleMappedData"/> is assumed to contain all the column 101Dictionary<string, IDataView> Evaluate(RoleMappedData data); 106IDataTransform GetPerInstanceMetrics(RoleMappedData data); 166var data = new RoleMappedData(input, label, null, group, weight, null, customCols); 244var data = new RoleMappedData(view, label, null, group, weight, name, customCols); 256var perInstData = new RoleMappedData(perInst, label, null, group, weight, name, customCols);
Commands\ScoreCommand.cs (1)
241public static IDataScorerTransform GetScorer(IPredictor predictor, RoleMappedData data, IHostEnvironment env, RoleMappedSchema trainSchema)
Commands\TestCommand.cs (2)
121var data = new RoleMappedData(scorePipe, label, null, group, weight, name, customCols); 135var perInstData = new RoleMappedData(perInst, label, null, group, weight, name, customCols);
Commands\TrainCommand.cs (13)
163var data = new RoleMappedData(view, label, feature, group, weight, name, customCols); 166RoleMappedData validData = null; 186RoleMappedData testDataUsedInTrainer = null; 246public static IPredictor Train(IHostEnvironment env, IChannel ch, RoleMappedData data, ITrainer trainer, 252public static IPredictor Train(IHostEnvironment env, IChannel ch, RoleMappedData data, ITrainer trainer, RoleMappedData validData, 253IComponentFactory<ICalibratorTrainer> calibrator, int maxCalibrationExamples, bool? cacheData, IPredictor inputPredictor = null, RoleMappedData testData = null) 258private static IPredictor TrainCore(IHostEnvironment env, IChannel ch, RoleMappedData data, ITrainer trainer, RoleMappedData validData, 259IComponentFactory<ICalibratorTrainer> calibrator, int maxCalibrationExamples, bool? cacheData, IPredictor inputPredictor = null, RoleMappedData testData = null) 318IPredictor predictor, RoleMappedData data, string command = null) 342public static void SaveModel(IHostEnvironment env, IChannel ch, Stream outputStream, IPredictor predictor, RoleMappedData data, string command = null) 491private static bool AddCacheIfWanted(IHostEnvironment env, IChannel ch, ITrainer trainer, ref RoleMappedData data, bool? cacheData)
Commands\TrainTestCommand.cs (5)
150var data = new RoleMappedData(trainPipe, label, features, group, weight, name, customCols); 152RoleMappedData validData = null; 172RoleMappedData testDataUsedInTrainer = null; 210var dataEval = new RoleMappedData(scorePipe, label, features, 225var perInstData = new RoleMappedData(perInst, label, null, group, weight, name, customCols);
EntryPoints\InputBase.cs (2)
86var roleMappedData = new RoleMappedData(view, label, feature, group, weight, name, custom); 88RoleMappedData cachedRoleMappedData = roleMappedData;
EntryPoints\PredictorModelImpl.cs (3)
30internal PredictorModelImpl(IHostEnvironment env, RoleMappedData trainingData, IDataView startingData, IPredictor predictor) 84var roleMappedData = new RoleMappedData(data, _roleMappings, opt: true); 99internal override void PrepareData(IHostEnvironment env, IDataView input, out RoleMappedData roleMappedData, out IPredictor predictor)
EntryPoints\SummarizePredictor.cs (1)
39RoleMappedData rmd;
Evaluators\AnomalyDetectionEvaluator.cs (3)
112internal override IDataTransform GetPerInstanceMetricsCore(RoleMappedData data) 596var roles = new RoleMappedData(data, opt: false, 826var data = new RoleMappedData(input.Data, label, null, null, weight, name);
Evaluators\BinaryClassifierEvaluator.cs (5)
818var roles = new RoleMappedData(data, opt: false, 866var roles = new RoleMappedData(data, opt: false, 946var roles = new RoleMappedData(data, opt: false, 992var roles = new RoleMappedData(data, opt: false, 1515var data = new RoleMappedData(input.Data, label, null, null, weight, name);
Evaluators\ClusteringEvaluator.cs (2)
79var rolesMappedData = new RoleMappedData(data, opt: false, roles.ToArray()); 871var data = new RoleMappedData(input.Data, label, features, null, weight, name);
Evaluators\EvaluatorBase.cs (5)
15/// <see cref="GetPerInstanceMetricsCore"/>. Note that the input <see cref="RoleMappedData"/> is assumed to contain all the column 31Dictionary<string, IDataView> IEvaluator.Evaluate(RoleMappedData data) 220IDataTransform IEvaluator.GetPerInstanceMetrics(RoleMappedData data) => GetPerInstanceMetricsCore(data); 223internal abstract IDataTransform GetPerInstanceMetricsCore(RoleMappedData data); 457internal override IDataTransform GetPerInstanceMetricsCore(RoleMappedData data)
Evaluators\EvaluatorUtils.cs (3)
747/// <param name="perInstance">The array of scored data views to evaluate. These are passed as <see cref="RoleMappedData"/> 752public static IDataView[] ConcatenatePerInstanceDataViews(IHostEnvironment env, IMamlEvaluator eval, bool collate, bool outputFoldIndex, RoleMappedData[] perInstance, out string[] variableSizeVectorColumnNames) 758Func<RoleMappedData, int, IDataView> getPerInstance =
Evaluators\MamlEvaluator.cs (10)
17/// The input <see cref="RoleMappedData"/> to the <see cref="IEvaluator.Evaluate"/> and the <see cref="IEvaluator.GetPerInstanceMetrics"/> methods 19/// evaluation should be searched for by name in the <see cref="RoleMappedData.Schema"/>. 46IDataView GetPerInstanceDataViewToSave(RoleMappedData perInstance); 51/// methods create a new <see cref="RoleMappedData"/> containing all the columns needed for evaluation, and call the corresponding 107Dictionary<string, IDataView> IEvaluator.Evaluate(RoleMappedData data) 218IDataTransform IEvaluator.GetPerInstanceMetrics(RoleMappedData scoredData) 223var dataEval = new RoleMappedData(scoredData.Data, GetInputColumnRoles(schema)); 227private IDataView WrapPerInstance(RoleMappedData perInst) 281IDataView IMamlEvaluator.GetPerInstanceDataViewToSave(RoleMappedData perInstance) 284var data = new RoleMappedData(perInstance.Data, GetInputColumnRoles(perInstance.Schema, needName: true));
Evaluators\MulticlassClassificationEvaluator.cs (2)
557var roles = new RoleMappedData(data, opt: false, 1100var data = new RoleMappedData(input.Data, label, null, null, weight, name);
Evaluators\MultiOutputRegressionEvaluator.cs (1)
786var data = new RoleMappedData(input.Data, label, null, null, weight, name);
Evaluators\QuantileRegressionEvaluator.cs (1)
571var data = new RoleMappedData(input.Data, label, null, null, weight, name);
Evaluators\RankingEvaluator.cs (3)
134internal override IDataTransform GetPerInstanceMetricsCore(RoleMappedData data) 259var roles = new RoleMappedData(data, opt: false, 1097var data = new RoleMappedData(input.Data, label, null, groupId, weight, name);
Evaluators\RegressionEvaluator.cs (2)
179var roles = new RoleMappedData(data, opt: false, 398var data = new RoleMappedData(input.Data, label, null, null, weight, name);
Model\Pfa\SavePfaCommand.cs (1)
148RoleMappedData data;
Prediction\Calibrator.cs (4)
908int maxRows, ITrainer trainer, IPredictor predictor, RoleMappedData data) 934IPredictor predictor, RoleMappedData data, int maxRows = _maxCalibrationExamples) 1013public static ICalibrator TrainCalibrator(IHostEnvironment env, IChannel ch, ICalibratorTrainer caliTrainer, IPredictor predictor, RoleMappedData data, int maxRows = _maxCalibrationExamples) 2213RoleMappedData data;
Training\TrainerEstimatorBase.cs (4)
148var trainRoleMapped = MakeRoles(trainSet); 149RoleMappedData validRoleMapped = null; 165private protected virtual RoleMappedData MakeRoles(IDataView data) => 197private protected override RoleMappedData MakeRoles(IDataView data) =>
Training\TrainerUtils.cs (38)
16/// Options for creating a <see cref="TrainingCursorBase"/> from a <see cref="RoleMappedData"/> with specified standard columns active. 49public static void CheckFeatureFloatVector(this RoleMappedData data) 64public static void CheckFeatureFloatVector(this RoleMappedData data, out int length) 82public static void CheckBinaryLabel(this RoleMappedData data) 117public static void CheckRegressionLabel(this RoleMappedData data) 137public static void CheckMulticlassLabel(this RoleMappedData data, out int count) 185public static void CheckMultiOutputRegressionLabel(this RoleMappedData data) 199public static void CheckOptFloatWeight(this RoleMappedData data) 211public static void CheckOptGroup(this RoleMappedData data) 224private static IEnumerable<DataViewSchema.Column> CreatePredicate(RoleMappedData data, CursOpt opt, IEnumerable<int> extraCols) 248public static DataViewRowCursor CreateRowCursor(this RoleMappedData data, CursOpt opt, Random rand, IEnumerable<int> extraCols = null) 252/// Create a row cursor set for the <see cref="RoleMappedData"/> with the indicated standard columns active. 255public static DataViewRowCursor[] CreateRowCursorSet(this RoleMappedData data, 275public static ValueGetter<VBuffer<float>> GetFeatureFloatVectorGetter(this DataViewRow row, RoleMappedData data) 299public static ValueGetter<float> GetLabelFloatGetter(this DataViewRow row, RoleMappedData data) 320public static ValueGetter<float> GetOptWeightFloatGetter(this DataViewRow row, RoleMappedData data) 341public static ValueGetter<ulong> GetOptGroupGetter(this DataViewRow row, RoleMappedData data) 514protected static DataViewRowCursor CreateCursor(RoleMappedData data, CursOpt opt, Random rand, params int[] extraCols) 593private readonly RoleMappedData _data; 599public RoleMappedData Data => _data; 601protected FactoryBase(RoleMappedData data, CursOpt opt) 680protected abstract TCurs CreateCursorCore(DataViewRowCursor input, RoleMappedData data, CursOpt opt, Action<CursOpt> signal); 736public StandardScalarCursor(RoleMappedData data, CursOpt opt, Random rand = null, params int[] extraCols) 741protected StandardScalarCursor(DataViewRowCursor input, RoleMappedData data, CursOpt opt, Action<CursOpt> signal = null) 801public Factory(RoleMappedData data, CursOpt opt) 806protected override StandardScalarCursor CreateCursorCore(DataViewRowCursor input, RoleMappedData data, CursOpt opt, Action<CursOpt> signal) 825public FeatureFloatVectorCursor(RoleMappedData data, CursOpt opt = CursOpt.Features, 831protected FeatureFloatVectorCursor(DataViewRowCursor input, RoleMappedData data, CursOpt opt, Action<CursOpt> signal = null) 867public Factory(RoleMappedData data, CursOpt opt = CursOpt.Features) 872protected override FeatureFloatVectorCursor CreateCursorCore(DataViewRowCursor input, RoleMappedData data, CursOpt opt, Action<CursOpt> signal) 892public FloatLabelCursor(RoleMappedData data, CursOpt opt = CursOpt.Label, 898protected FloatLabelCursor(DataViewRowCursor input, RoleMappedData data, CursOpt opt, Action<CursOpt> signal = null) 933public Factory(RoleMappedData data, CursOpt opt = CursOpt.Label) 938protected override FloatLabelCursor CreateCursorCore(DataViewRowCursor input, RoleMappedData data, CursOpt opt, Action<CursOpt> signal) 961public MulticlassLabelCursor(int classCount, RoleMappedData data, CursOpt opt = CursOpt.Label, 967protected MulticlassLabelCursor(int classCount, DataViewRowCursor input, RoleMappedData data, CursOpt opt, Action<CursOpt> signal = null) 1008public Factory(int classCount, RoleMappedData data, CursOpt opt = CursOpt.Label) 1016protected override MulticlassLabelCursor CreateCursorCore(DataViewRowCursor input, RoleMappedData data, CursOpt opt, Action<CursOpt> signal)
Transforms\TrainAndScoreTransformer.cs (3)
241var data = CreateDataFromArgs(ch, input, args, out feat, out group); 249public static RoleMappedData CreateDataFromArgs(IExceptionContext ectx, IDataView input, 257private static RoleMappedData CreateDataFromArgs(IExceptionContext ectx, IDataView input,
Utilities\ComponentCreation.cs (3)
47public static RoleMappedData CreateExamples(this IHostEnvironment env, IDataView data, string features, string label = null, 156RoleMappedData data, IPredictor predictor, RoleMappedSchema trainSchema = null) 186public static IDataScorerTransform CreateDefaultScorer(this IHostEnvironment env, RoleMappedData data,
Microsoft.ML.Ensemble (46)
Batch.cs (4)
12public readonly RoleMappedData TrainInstances; 13public readonly RoleMappedData TestInstances; 15public Batch(RoleMappedData trainData, RoleMappedData testData)
EnsembleUtils.cs (3)
18public static RoleMappedData SelectFeatures(IHost host, RoleMappedData data, BitArray features) 39var res = new RoleMappedData(view, data.Schema.GetColumnRoleNames());
EntryPoints\CreateEnsemble.cs (9)
90private static void GetPipeline(IHostEnvironment env, InputBase input, out IDataView startingData, out RoleMappedData transformedData) 106model.PrepareData(env, inputData, out RoleMappedData transformedDataCur, out IPredictor pred); 139GetPipeline(host, input, out IDataView startingData, out RoleMappedData transformedData); 174GetPipeline(host, input, out IDataView startingData, out RoleMappedData transformedData); 307var rmd = new RoleMappedData(dv); 315/// This method takes a <see cref="RoleMappedData"/> as input, saves it as an in-memory <see cref="ZipArchive"/> 323internal static void SerializeRoleMappedData(IHostEnvironment env, IChannel ch, RoleMappedData data, 350/// as a <see cref="RoleMappedData"/>, and the second as a double byte array and a string array. The double 359RoleMappedData dataToCompare, byte[][] dataSerialized, string[] dataZipEntryNames)
EntryPoints\PipelineEnsemble.cs (1)
36out RoleMappedData rmd, out IPredictor predictor);
OutputCombiners\BaseStacking.cs (3)
123public void Train(List<FeatureSubsetModel<TOutput>> models, RoleMappedData data, IHostEnvironment env) 152private IDataView CreateDataView(IHostEnvironment env, IChannel ch, RoleMappedData data, ValueMapper<VBuffer<Single>, 169private IDataView CreateDataView<T>(IHostEnvironment env, IChannel ch, RoleMappedData data, ValueMapper<VBuffer<Single>, TOutput>[] maps,
OutputCombiners\IOutputCombiner.cs (1)
34void Train(List<FeatureSubsetModel<TOutput>> models, RoleMappedData data, IHostEnvironment env);
PipelineEnsemble.cs (6)
68Parent.PredictorModels[i].PrepareData(Parent.Host, emptyDv, out RoleMappedData rmd, out IPredictor predictor); 583PredictorModels[i].PrepareData(Host, dv, out RoleMappedData rmd, out IPredictor pred); 596model.PrepareData(env, edv, out RoleMappedData rmd, out IPredictor pred); 635model.PrepareData(env, edv, out RoleMappedData rmd, out pred); 659model.PrepareData(env, edv, out RoleMappedData rmd, out IPredictor pred); 721PredictorModels[i].PrepareData(Host, dv, out RoleMappedData rmd, out IPredictor pred);
Selector\FeatureSelector\AllFeatureSelector.cs (1)
25public Subset SelectFeatures(RoleMappedData data, Random rand)
Selector\FeatureSelector\RandomFeatureSelector.cs (2)
47public Subset SelectFeatures(RoleMappedData data, Random rand) 57var dataNew = EnsembleUtils.SelectFeatures(_host, data, features);
Selector\IFeatureSelector.cs (1)
14Subset SelectFeatures(RoleMappedData data, Random rand);
Selector\ISubsetSelector.cs (2)
15void Initialize(RoleMappedData data, int size, int batchSize, Single validationDatasetProportion); 18RoleMappedData GetTestData(Subset subset, Batch batch);
Selector\SubModelSelector\BaseDiverseSelector.cs (1)
48var data = subsetSelector.GetTestData(subset, batch);
Selector\SubModelSelector\BaseSubModelSelector.cs (2)
80RoleMappedData testData = subsetSelector.GetTestData(subset, batch); 84RoleMappedData scoredTestData = new RoleMappedData(scorePipe,
Selector\SubsetSelector\BaseSubsetSelector.cs (5)
28protected RoleMappedData Data; 43public void Initialize(RoleMappedData data, int size, int batchSize, Single validationDatasetProportion) 64RoleMappedData dataTest; 65RoleMappedData dataTrain; 94public virtual RoleMappedData GetTestData(Subset subset, Batch batch)
Selector\SubsetSelector\BootstrapSelector.cs (1)
52var dataTrain = new RoleMappedData(viewTrain, Data.Schema.GetColumnRoleNames());
Selector\SubsetSelector\RandomPartitionSelector.cs (1)
50var dataTrain = new RoleMappedData(viewTrain, Data.Schema.GetColumnRoleNames());
Subset.cs (2)
13public readonly RoleMappedData Data; 16public Subset(RoleMappedData data, BitArray features = null)
Trainer\EnsembleTrainerBase.cs (1)
121private IPredictor TrainCore(IChannel ch, RoleMappedData data)
Microsoft.ML.EntryPoints (10)
ModelOperations.cs (1)
153var data = new RoleMappedData(normalizedView, label, feature, null, weight);
OneVersusAllMacro.cs (1)
131var data = new RoleMappedData(input.TrainingData, label, feature, null, weight);
PermutationFeatureImportance.cs (6)
29input.PredictorModel.PrepareData(env, input.Data, out RoleMappedData roleMappedData, out IPredictor predictor); 62RoleMappedData roleMappedData, 87RoleMappedData roleMappedData, 144RoleMappedData roleMappedData, 203RoleMappedData roleMappedData, 254RoleMappedData roleMappedData,
ScoreModel.cs (2)
76input.PredictorModel.PrepareData(host, inputData, out RoleMappedData data, out IPredictor predictor); 124RoleMappedData data;
Microsoft.ML.FastTree (34)
FastTree.cs (16)
56private protected RoleMappedData ValidData; 61private protected RoleMappedData TestData; 188private protected void ConvertData(RoleMappedData trainData) 202private bool UseTranspose(bool? useTranspose, RoleMappedData data) 929private DataConverter(RoleMappedData data, IHost host, double[][] binUpperBounds, float maxLabel, 955public static DataConverter Create(RoleMappedData data, IHost host, int maxBins, 974public static DataConverter Create(RoleMappedData data, IHost host, double[][] binUpperBounds, 1266public DiskImpl(RoleMappedData data, IHost host, int maxBins, float maxLabel, PredictionKind kind, 1275public DiskImpl(RoleMappedData data, IHost host, 1325private Dataset Construct(RoleMappedData examples, ref int numExamples, int maxBins, IParallelTraining parallelTraining) 1740private readonly RoleMappedData _data; 1759private MemImpl(RoleMappedData data, IHost host, double[][] binUpperBounds, float maxLabel, bool dummy, 1781public MemImpl(RoleMappedData data, IHost host, int maxBins, float maxLabel, bool noFlocks, int minDocsPerLeaf, 1791public MemImpl(RoleMappedData data, IHost host, double[][] binUpperBounds, float maxLabel, 2744public Dataset FindBinsAndReturnDataset(RoleMappedData data, PredictionKind kind, IParallelTraining parallelTraining, 2762public Dataset GetCompatibleDataset(RoleMappedData data, PredictionKind kind, int[] categoricalFeatures, bool categoricalSplit)
FastTreeClassification.cs (1)
187var trainData = context.TrainingSet;
FastTreeRanking.cs (1)
141var trainData = context.TrainingSet;
FastTreeRegression.cs (1)
111var trainData = context.TrainingSet;
FastTreeTweedie.cs (1)
120var trainData = context.TrainingSet;
GamClassification.cs (1)
113private protected override void CheckLabel(RoleMappedData data)
GamModelParameters.cs (4)
594private readonly RoleMappedData _data; 610private readonly RoleMappedData _dataForEvaluator; 623public Context(IChannel ch, GamModelParametersBase pred, RoleMappedData data, IEvaluator eval) 891var data = new RoleMappedData(loader, schema.GetColumnRoleNames(), opt: true);
GamRegression.cs (1)
101private protected override void CheckLabel(RoleMappedData data)
GamTrainer.cs (4)
248private protected abstract void CheckLabel(RoleMappedData data); 250private void ConvertData(RoleMappedData trainData, RoleMappedData validationData) 267private bool UseTranspose(bool? useTranspose, RoleMappedData data)
RandomForestClassification.cs (1)
214var trainData = context.TrainingSet;
RandomForestRegression.cs (1)
353var trainData = context.TrainingSet;
TreeEnsembleFeaturizer.cs (2)
645var data = TrainAndScoreTransformer.CreateDataFromArgs(ch, input, args); 713RoleMappedData data = null;
Microsoft.ML.KMeansClustering (2)
KMeansPlusPlusTrainer.cs (2)
200var data = context.TrainingSet; 211private KMeansModelParameters TrainCore(IChannel ch, RoleMappedData data, int dimensionality)
Microsoft.ML.LightGbm (16)
LightGbmBinaryTrainer.cs (2)
262private protected override void CheckDataValid(IChannel ch, RoleMappedData data) 279private protected override void CheckAndUpdateParametersBeforeTraining(IChannel ch, RoleMappedData data, float[] labels, int[] groups)
LightGbmMulticlassTrainer.cs (3)
233private protected override void CheckDataValid(IChannel ch, RoleMappedData data) 270private protected override void ConvertNaNLabels(IChannel ch, RoleMappedData data, float[] labels) 334private protected override void CheckAndUpdateParametersBeforeTraining(IChannel ch, RoleMappedData data, float[] labels, int[] groups)
LightGbmRankingTrainer.cs (2)
239private protected override void CheckDataValid(IChannel ch, RoleMappedData data) 288private protected override void CheckAndUpdateParametersBeforeTraining(IChannel ch, RoleMappedData data, float[] labels, int[] groups)
LightGbmRegressionTrainer.cs (2)
224private protected override void CheckDataValid(IChannel ch, RoleMappedData data) 241private protected override void CheckAndUpdateParametersBeforeTraining(IChannel ch, RoleMappedData data, float[] labels, int[] groups)
LightGbmTrainerBase.cs (7)
521private protected virtual void CheckDataValid(IChannel ch, RoleMappedData data) 551private FloatLabelCursor.Factory CreateCursorFactory(RoleMappedData data) 634private CategoricalMetaData GetCategoricalMetaData(IChannel ch, RoleMappedData trainData, int numRow) 666private Dataset LoadTrainingData(IChannel ch, RoleMappedData trainData, out CategoricalMetaData catMetaData) 697private Dataset LoadValidationData(IChannel ch, Dataset dtrain, RoleMappedData validData, CategoricalMetaData catMetaData) 827private protected virtual void ConvertNaNLabels(IChannel ch, RoleMappedData data, float[] labels) 1272RoleMappedData data, float[] labels, int[] groups);
Microsoft.ML.Mkl.Components (7)
OlsLinearRegression.cs (1)
156var examples = context.TrainingSet;
SymSgdClassificationTrainer.cs (6)
184private RoleMappedData PrepareDataFromTrainingExamples(IChannel ch, RoleMappedData examples, out int weightSetCount) 206var examplesToFeedTrain = new RoleMappedData(idvToFeedTrain, roles); 230var preparedData = PrepareDataFromTrainingExamples(ch, context.TrainingSet, out int weightSetCount); 701private TPredictor TrainCore(IChannel ch, RoleMappedData data, LinearModelParameters predictor, int weightSetCount) 816private void CheckLabel(RoleMappedData examples, out int weightSetCount)
Microsoft.ML.OnnxConverter (1)
SaveOnnxCommand.cs (1)
340RoleMappedData data;
Microsoft.ML.OnnxTransformerTest (2)
DnnImageFeaturizerTest.cs (1)
156var resultRoles = new RoleMappedData(result);
OnnxTransformTests.cs (1)
199var resultRoles = new RoleMappedData(result);
Microsoft.ML.PCA (1)
PcaTrainer.cs (1)
211private PcaModelParameters TrainCore(IChannel ch, RoleMappedData data, int dimension)
Microsoft.ML.Predictor.Tests (2)
TestPredictors.cs (2)
673var data = new RoleMappedData(idv, label: null, feature: "Features"); 843var data = new RoleMappedData(idv, label: null, feature: "Features");
Microsoft.ML.Recommender (8)
MatrixFactorizationTrainer.cs (4)
435private MatrixFactorizationModelParameters TrainCore(IChannel ch, RoleMappedData data, RoleMappedData validData = null) 534var trainingData = new RoleMappedData(trainData, roles); 535var validData = validationData == null ? null : new RoleMappedData(validationData, roles);
RecommenderUtils.cs (4)
14/// Check if the considered data, <see cref="RoleMappedData"/>, contains column roles specified by <see cref="MatrixColumnIndexKind"/> and <see cref="MatrixRowIndexKind"/>. 22public static void CheckAndGetMatrixIndexColumns(RoleMappedData data, out DataViewSchema.Column matrixColumnIndexColumn, out DataViewSchema.Column matrixRowIndexColumn, bool isDecode) 40/// Checks whether a column kind in a <see cref="RoleMappedData"/> is unique, and its type 48private static KeyDataViewType CheckRowColumnType(RoleMappedData data, RoleMappedSchema.ColumnRole role, out DataViewSchema.Column col, bool isDecode)
Microsoft.ML.StandardTrainers (62)
FactorizationMachine\FactorizationMachineTrainer.cs (5)
359private static double CalculateAvgLoss(IChannel ch, RoleMappedData data, bool norm, float[] linearWeights, AlignedArray latentWeightsAligned, 408private FieldAwareFactorizationMachineModelParameters TrainCore(IChannel ch, IProgressChannel pch, RoleMappedData data, 409RoleMappedData validData = null, FieldAwareFactorizationMachineModelParameters predictor = null) 602var trainingData = new RoleMappedData(trainData, roles); 603var validData = validationData == null ? null : new RoleMappedData(validationData, roles);
LdSvm\LdSvmTrainer.cs (4)
253private LdSvmModelParameters TrainCore(IChannel ch, RoleMappedData trainingData, int numLeaf, int numFeatures) 508public CachedData(IChannel ch, RoleMappedData data) 560private readonly RoleMappedData _data; 566public StreamingData(IChannel ch, RoleMappedData data)
Standard\LogisticRegression\LbfgsPredictorBase.cs (5)
182private RoleMappedData _data; 419private protected abstract void CheckLabel(RoleMappedData data); 438var data = context.TrainingSet; 464private protected virtual void TrainCoreOneDal(IChannel ch, RoleMappedData data) 563private protected virtual void TrainCore(IChannel ch, RoleMappedData data)
Standard\LogisticRegression\LogisticRegression.cs (1)
163private protected override void CheckLabel(RoleMappedData data)
Standard\LogisticRegression\MulticlassLogisticRegression.cs (1)
169private protected override void CheckLabel(RoleMappedData data)
Standard\MulticlassClassification\MetaMulticlassTrainer.cs (3)
91private protected IDataView MapLabelsCore<T>(DataViewType type, InPredicate<T> equalsTarget, RoleMappedData data) 110private protected abstract TModel TrainCore(IChannel ch, RoleMappedData data, int count); 120var data = context.TrainingSet;
Standard\MulticlassClassification\MulticlassNaiveBayesTrainer.cs (1)
135var data = context.TrainingSet;
Standard\MulticlassClassification\OneVersusAllTrainer.cs (5)
151private protected override OneVersusAllModelParameters TrainCore(IChannel ch, RoleMappedData data, int count) 163private ISingleFeaturePredictionTransformer<TScalarPredictor> TrainOne(IChannel ch, TScalarTrainer trainer, RoleMappedData data, int cls) 179var trainedData = new RoleMappedData(view, label: trainerLabel, feature: transformer.FeatureColumnName); 191private IDataView MapLabels(RoleMappedData data, int cls) 214var td = new RoleMappedData(input, roles);
Standard\MulticlassClassification\PairwiseCouplingTrainer.cs (5)
126private protected override PairwiseCouplingModelParameters TrainCore(IChannel ch, RoleMappedData data, int count) 145private ISingleFeaturePredictionTransformer<TDistPredictor> TrainOne(IChannel ch, TScalarTrainer trainer, RoleMappedData data, int cls1, int cls2) 155var trainedData = new RoleMappedData(view, label: trainerLabel, feature: transformer.FeatureColumnName); 164private IDataView MapLabels(RoleMappedData data, int cls1, int cls2) 192var td = new RoleMappedData(input, roles);
Standard\Online\AveragedPerceptron.cs (1)
206private protected override void CheckLabels(RoleMappedData data)
Standard\Online\LinearSvm.cs (1)
314private protected override void CheckLabels(RoleMappedData data)
Standard\Online\OnlineGradientDescent.cs (1)
176private protected override void CheckLabels(RoleMappedData data)
Standard\Online\OnlineLinear.cs (5)
201/// Called by <see cref="TrainCore(IChannel, RoleMappedData, TrainStateBase)"/> at the start of a pass over the dataset. 212/// Called by <see cref="TrainCore(IChannel, RoleMappedData, TrainStateBase)"/> after a pass over the dataset. 288var data = context.TrainingSet; 311private protected abstract void CheckLabels(RoleMappedData data); 313private void TrainCore(IChannel ch, RoleMappedData data, TrainStateBase state)
Standard\PoissonRegression\PoissonRegression.cs (1)
113private protected override void CheckLabel(RoleMappedData data)
Standard\SdcaBinary.cs (13)
74var preparedData = PrepareDataFromTrainingExamples(ch, context.TrainingSet, out int weightSetCount); 84private protected abstract TModel TrainCore(IChannel ch, RoleMappedData data, LinearModelParameters predictor, int weightSetCount); 95private protected RoleMappedData PrepareDataFromTrainingExamples(IChannel ch, RoleMappedData examples, out int weightSetCount) 117var examplesToFeedTrain = new RoleMappedData(idvToFeedTrain, roles); 128private protected abstract void CheckLabel(RoleMappedData examples, out int weightSetCount); 322private protected sealed override TModel TrainCore(IChannel ch, RoleMappedData data, LinearModelParameters predictor, int weightSetCount) 1544private protected override void CheckLabel(RoleMappedData examples, out int weightSetCount) 2019private protected override TModel TrainCore(IChannel ch, RoleMappedData data, LinearModelParameters predictor, int weightSetCount) 2205/// It's used at the end of <see cref="TrainCore(IChannel, RoleMappedData, LinearModelParameters, int)"/> to finalize the trained model. 2228private protected override void CheckLabel(RoleMappedData examples, out int weightSetCount) 2310/// Given weights and bias trained in <see cref="SgdBinaryTrainerBase{TModelParameters}.TrainCore(IChannel, RoleMappedData, LinearModelParameters, int)"/>, 2437/// a calibrator would be added after <see cref="SgdBinaryTrainerBase{TModelParameters}.TrainCore(IChannel, RoleMappedData, LinearModelParameters, int)"/>
Standard\SdcaMulticlass.cs (1)
467private protected override void CheckLabel(RoleMappedData examples, out int weightSetCount)
Standard\SdcaRegression.cs (1)
163private protected override void CheckLabel(RoleMappedData examples, out int weightSetCount)
Standard\Simple\SimpleTrainers.cs (2)
245RoleMappedData trainRoles = new RoleMappedData(input, label: _labelColumnName, feature: null, weight: _weightColumnName); 253var data = context.TrainingSet;
Standard\StochasticTrainerBase.cs (6)
35var preparedData = PrepareDataFromTrainingExamples(ch, context.TrainingSet, out int weightSetCount); 59private protected RoleMappedData PrepareDataFromTrainingExamples(IChannel ch, RoleMappedData examples, out int weightSetCount) 81var examplesToFeedTrain = new RoleMappedData(idvToFeedTrain, roles); 92private protected abstract TModel TrainCore(IChannel ch, RoleMappedData data, LinearModelParameters predictor, int weightSetCount); 94private protected abstract void CheckLabel(RoleMappedData examples, out int weightSetCount);
Microsoft.ML.TensorFlow.Tests (1)
TensorFlowEstimatorTests.cs (1)
127var resultRoles = new RoleMappedData(result);
Microsoft.ML.Tests (20)
Scenarios\Api\Estimators\TrainWithInitialPredictor.cs (1)
43var trainRoles = new RoleMappedData(trainData, label: "Label", feature: "Features");
TermEstimatorTests.cs (1)
124var resultRoles = new RoleMappedData(result);
Transformers\CategoricalHashTests.cs (1)
231var resultRoles = new RoleMappedData(result);
Transformers\CategoricalTests.cs (1)
325var resultRoles = new RoleMappedData(result);
Transformers\CharTokenizeTests.cs (1)
64var resultRoles = new RoleMappedData(result);
Transformers\ConvertTests.cs (1)
324var resultRoles = new RoleMappedData(result);
Transformers\CopyColumnEstimatorTests.cs (1)
120var resultRoles = new RoleMappedData(result);
Transformers\FeatureSelectionTests.cs (2)
156var resultRoles = new RoleMappedData(result); 216var resultRoles = new RoleMappedData(result);
Transformers\HashTests.cs (1)
120var resultRoles = new RoleMappedData(result);
Transformers\KeyToBinaryVectorEstimatorTest.cs (1)
157var resultRoles = new RoleMappedData(result);
Transformers\KeyToVectorEstimatorTests.cs (1)
219var resultRoles = new RoleMappedData(result);
Transformers\NAIndicatorTests.cs (1)
82var resultRoles = new RoleMappedData(result);
Transformers\NAReplaceTests.cs (1)
177var resultRoles = new RoleMappedData(result);
Transformers\NormalizerTests.cs (3)
740var resultRoles = new RoleMappedData(result); 801var resultRoles = new RoleMappedData(result); 861var resultRoles = new RoleMappedData(result);
Transformers\RffTests.cs (1)
105var resultRoles = new RoleMappedData(result);
Transformers\TextNormalizer.cs (1)
85var resultRoles = new RoleMappedData(result);
Transformers\WordTokenizeTests.cs (1)
105var resultRoles = new RoleMappedData(result);
Microsoft.ML.TimeSeries (3)
AdaptiveSingularSpectrumSequenceModeler.cs (2)
1207internal override void Train(RoleMappedData data) 1556var data = new RoleMappedData(dataView, null, inputColumnName);
SequenceModelerBase.cs (1)
53internal abstract void Train(RoleMappedData data);
Microsoft.ML.Transforms (2)
Dracula\CountTableTransformer.cs (1)
296private void CheckLabelType(RoleMappedData data, out int labelCardinality)
LearnerFeatureSelection.cs (1)
292var data = new RoleMappedData(view, label, feature, group, weight, name, customCols);